Image Encryption Using a Lightweight Stream Encryption Algorithm by Saeed Bahrami, Majid Naderi

“…In this paper, we consider a simple and lightweight stream encryption algorithm for image encryption, and a series of tests are performed to confirm suitability of the described encryption algorithm. …”
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RETRACTED: Correction of the movement of the mobile robot using the modified algorithm by Alferov Gennady, Korolev Vladimir, Fedorov Viktor, Khokhriakova Anastasiia

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Two-stage community detection algorithm based on label propagation by Xueliang SUN, Wei WANG, Junheng HUANG, Guodong XIN, Bailing WANG

“…Community detection is an important research topic of complex network analysis.The detection results help to understand the community structure of complex networks and provide support for downstream tasks, such as content recommendation, link detection.Considering the challenge of community detection in complex networks, a two-stage community detection algorithm based on label propagation (TS-LPA) was proposed.The TS-LPA algorithm quantified the propagation capability of nodes based on the extended neighborhood.Then a new evaluation index was proposed to measure the probability of influence between nodes using the information of nodes and the weight of edges in the network.Based on the calculation of node centrality, the algorithm determined the updating sequence of node labels and the selection strategy of seed nodes, which eliminated the instability of the algorithm in the updating process.The TS-LPA algorithm used the breadth-first propagation idea and introduced the second-stage label propagation method to improve the quality of community detection.When label began to spread, all neighboring nodes had an influence on the label of the related node.Meanwhile, the influence of neighboring seed nodes was added to complete label updating, in order to reduce the dominance of neighboring nodes on the updated node.The experimental results of different real data sets and synthetic data sets show that TS-LPA algorithm can eliminate randomness and show strong stability while effectively improving the quality of community detection.…”
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Application of Random Forest Algorithm in Xijiang River Flood Forecasting by LIU Hechang, ZHAO Bohua, SUN Bo

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Wireless virtual network embedding algorithm based on link reliability by Juan LUO, Chuan-chuan LIU, Ren-fa LI

“…According to the problem of the poor reliability of wireless network links affectting wireless virtual network embedding,a wireless virtual network embedding algorithm based on link reliability named WVNEA-LR was proposed.This algorithm through the physical network topology pretreatment and the method of allowing multiple virtual nodes in the same virtual request mapping to the same physical nodes,improved the success rate of virtual networks construction and saved the physical link resources.The problem that low success ratio of virtual networks construction results from topology sparse was also improved with Q fact.Besides，node embedding of WVNEA-LR made the preparation for link embedding and this algorithm ensured virtual network embedded with high reliability via choosing high reliable paths during link embedding.Simulation results show the better success rate of virtual networks construction and higher resource utility can be acquired.…”
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Bounding box based distributed search localization algorithm for WSN by Ying-biao YAO, Rong ZENG, Zhi-qiang YI

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RSU deployment planning based on approximation algorithm in urban VANET by Junyu ZHU, Chuanhe HUANG, Xiying FAN, Kuangyu QIN, Bin FU

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An improved coarse alignment algorithm for SINS based on rotation modulation by Yong Yang, Donglin Li, Lingbing Kong, Kaijun Xu, Honghui Xiang

“…This paper proposes an improved coarse alignment algorithm by introducing single-axis continuous rotation modulation to compensate for the errors in gyroscopes and accelerometers, thus improving accuracy. …”
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Research and Implementation of Fast-LPRNet Algorithm for License Plate Recognition by Zhichao Wang, Yu Jiang, Jiaxin Liu, Siyu Gong, Jian Yao, Feng Jiang

“…Aiming at the problems of traditional license plate recognition algorithms such as the low accuracy, slow speed, and the recognition rate being easily affected by the environment, a Convolutional Neural Network- (CNN-) based license plate recognition algorithm-Fast-LPRNet is proposed. …”
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Human activity recognition algorithm based on the spatial feature for WBAN by Chi JIN, Zhijun LI, Dayang SUN, Fengye HU

“…Traditional image-based activity recognition algorithms have some problems,such as high computational cost,numerous blind spots and easy privacy leakage.To solve the problem above,the CCLA (convolution-convolutional long short-term memory-attention) activity recognition algorithm based on the acceleration and gyroscope data was proposed.The convolutional neural network was used to extract spatial features of activity data and got the hidden time series information from the convolutional long short-term memory network.Simulating human brain selecting attention mechanism,attention-encoder was constructed to extract the spatial and temporal features at a higher level.The CCLA algorithm was tested on UCI-HAPT (university of California Irvine-smartphone-based recognition of human activities and postural transitions) public data set,and realized the classification of 12 types of activity with the accuracy of 93.27%.…”
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Perceptual Mapping-Based Image Tamper Detection and Recovery Algorithm by Taha Basheer Taha, Ruzelita Ngadiran, Dujan B. Taha

“…In this paper, a new algorithm is proposed to authenticate images by hiding a copy of the approximation band in the original image. …”
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Research of Exoskeleton Trajectory Algorithm based on Homogeneous Differential Equation by Liang Yuhang, Liang Guoxing, Li Zhili, Song Jinpeng, Ren Qichao

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Study on Chinese spam filtering system based on Bayes algorithm by Haoran LIU, Pan DING, Changjiang GUO, Jinfeng CHANG, Jingchuang CUI

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Uncertain data analysis algorithm based on fast Gaussian transform by Rong-hua CHI, Yuan CHENG, Su-xia ZHU, Shao-bin HUANG, De-yun CHEN

“…The effect of the uncertainties needs to be taken full advantage during uncertain data clustering.An uncertain data clustering algorithm based on fast Gaussian transform was proposed,to solve the problems about the impact on the accuracy of clustering results and the clustering efficiency caused by the uncertainties,during the construction of uncertain data models and the distance measurement,which existed in the current researches.First,the data model according to the characteristic of the uncertainty distribution was constructed,without the premise of assuming the data distribution.And the similarity between uncertain data objects was measured by combining the two important features of uncertain objects,attribute features and the probability density function representing the characteristic of uncertainty distribution.And then the uncertain data clustering algorithm was proposed.Finally,the experiment results on UCI and real datasets indicate the better efficiency and accuracy of proposed algorithm.…”
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Cloud removal from satellite imagery based on SUSAN algorithm by LU Li1, WANG Yong-tao1, TIAN Jin-wen1, LIU Jian1

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Twice Deployment Node Balance Algorithm for Road Network Surveillance by Liangyin Chen, Yecheng Li, Zhanghua Li, Wenke Li, Panlan Su, Hua Cheng, Qian Luo, Feng Yin, Yushi Jiang

“…This paper proposes a twice deployment node balance algorithm (TDNB) which guarantees successful detection of the moving target on road networks. …”
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Smart contract-based secure cooperative spectrum sensing algorithm by Chu Ji, Qi Zhu

“…In this article, we apply blockchain technology in spectrum sensing process and propose a related algorithm based on reputation. The algorithm builds a system model based on smart contract in blockchain and applies blockchain asymmetric encryption algorithm and digital signature technology in the process of secondary users’ transmitting local judgments to the secondary user base station. …”
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Abnormal link detection algorithm based on semi-local structure by Haoran SHI, Lixin JI, Shuxin LIU, Gengrun WANG

“…With the research in network science, real networks involved are becoming more and more extensive.Redundant error relationships in complex systems, or behaviors that occur deliberately for unusual purposes, such as wrong clicks on webpages, telecommunication network spying calls, have a significant impact on the analysis work based on network structure.As an important branch of graph anomaly detection, anomalous edge recognition in complex networks aims to identify abnormal edges in network structures caused by human fabrication or data collection errors.Existing methods mainly start from the perspective of structural similarity, and use the connected structure between nodes to evaluate the abnormal degree of edge connection, which easily leads to the decomposition of the network structure, and the detection accuracy is greatly affected by the network type.In response to this problem, a CNSCL algorithm was proposed, which calculated the node importance at the semi-local structure scale, analyzed different types of local structures, and quantified the contribution of edges to the overall network connectivity according to the semi-local centrality in different structures, and quantified the reliability of the edge connection by combining with the difference of node structure similarity.Since the connected edges need to be removed in the calculation process to measure the impact on the overall connectivity of the network, there was a problem that the importance of nodes needed to be repeatedly calculated.Therefore, in the calculation process, the proposed algorithm also designs a dynamic update method to reduce the computational complexity of the algorithm, so that it could be applied to large-scale networks.Compared with the existing methods on 7 real networks with different structural tightness, the experimental results show that the method has higher detection accuracy than the benchmark method under the AUC measure, and under the condition of network sparse or missing, It can still maintain a relatively stable recognition accuracy.…”
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Active Engine Mounting Control Algorithm Using Neural Network by Fadly Jashi Darsivan, Wahyudi Martono, Waleed F. Faris

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An Elite Decision Making Harmony Search Algorithm for Optimization Problem by Lipu Zhang, Yinghong Xu, Yousong Liu

“…This paper describes a new variant of harmony search algorithm which is inspired by a well-known item “elite decision making.” …”
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